Evidence map›Paper›PMID 41573590›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

Level up the brain! Novel PCA method reveals key neuroplastic refinements in action video gamers.

Kyle Cahill, Mukesh Dhamala

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Kyle CahillDepartment of Physics and Astronomy, Georgia State University, Atlanta, GA, United States.ORCID https://orcid.org/0009-0000-1869-1274
Mukesh DhamalaDepartment of Physics and Astronomy, Georgia State University, Atlanta, GA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Action video games (AVGs) provide an ecologically rich context for examining how sustained cognitive demands relate to behaviorally induced neuroplasticity. In this cross-sectional study, we show that the connectivity differences observed in long-term AVG players, referred to here as gamers, reflect neuroplastic refinements consistent with more efficient neural mechanisms for reducing visuomotor information surprise during decision making. To explain how such adaptations could unfold over time, we utilized the Cognitive Resource Reallocation (CRR) framework, defined as the dynamic redistribution of metabolic and functional resources to support behaviorally relevant neuroplastic adaptation under repeated, demanding task conditions. Using a novel region-cumulative principal component analysis (rcPCA) approach applied to previously published data, we identified the subset of brain regions that best explain inter-subject variability, thereby improving statistical power and reducing the burden of multiple comparisons. Our results suggest that long-term engagement with AVGs may promote more efficient visuomotor decision-making strategies through both top-down cognitive clarity, enabling unobstructed transformation of learned value into goal-directed action, and bottom-up motor readiness, enhancing rapid and skillful action selection. These converging adaptations reduce internal conflict, mitigate uncertainty, and enable more effective translation of sensory input into coherent motor output, supporting the broader view that repeated cognitive challenge is associated with perturbations in neurodynamic equilibria that coincide with functional reorganization and enhanced cognitive ability.

Indexed as

action video gamescognitive resource reallocationmultimodal connectivityneuroplasticityprincipal component analysisvisuomotor decision making

Identifiers

PMID41573590
PMCPMC12820803

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.